Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B983C72161040A3E6A5386E4F3D8F738A17AD2D9D70B944CB3AD15B927C9CA8F81F7D4 |
|
CONTENT
ssdeep
|
1536:iflOOcDidciB2SawZpFPTv5pGHXyxxruvpNWY:AOOcDidclSM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ccb335e4351c374c |
|
VISUAL
aHash
|
7fff3c3c38381818 |
|
VISUAL
dHash
|
96337161717171f2 |
|
VISUAL
wHash
|
4eff3c3c3c38181a |
|
VISUAL
colorHash
|
30200030040 |
|
VISUAL
cropResistant
|
9d9d678c8c889395,79e9d492a029296b,96337161717171f2 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 14 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.